3D morphable model construction for robust ear and face recognition | IEEE Conference Publication | IEEE Xplore

3D morphable model construction for robust ear and face recognition


Abstract:

Recent work suggests that the human ear varies significantly between different subjects and can be used for identification. In principle, therefore, using ears in additio...Show More

Abstract:

Recent work suggests that the human ear varies significantly between different subjects and can be used for identification. In principle, therefore, using ears in addition to the face within a recognition system could improve accuracy and robustness, particularly for non-frontal views. The paper describes work that investigates this hypothesis using an approach based on the construction of a 3D morphable model of the head and ear. One issue with creating a model that includes the ear is that existing training datasets contain noise and partial occlusion. Rather than exclude these regions manually, a classifier has been developed which automates this process. When combined with a robust registration algorithm the resulting system enables full head morphable models to be constructed efficiently using less constrained datasets. The algorithm has been evaluated using registration consistency, model coverage and minimalism metrics, which together demonstrate the accuracy of the approach. To make it easier to build on this work, the source code has been made available online.
Date of Conference: 13-18 June 2010
Date Added to IEEE Xplore: 05 August 2010
ISBN Information:

ISSN Information:

Conference Location: San Francisco, CA, USA

Contact IEEE to Subscribe

References

References is not available for this document.